Machine Learning Operations Architect (MLOps/DevOps) maintains ownership of the strategic direction and roadmaps related to our machine learning infrastructure. The ML Ops Architect also participates in, supports, and directs the engineering efforts for both the customer-facing and infrastructure related to machine learning technologies as well as mentors, trains and leads fellow team members and peers through design and implementation decisions to achieve a balance between strategic design and tactical needs.

MLOps engineers have deep knowledge of both AI and its infrastructure on the Cloud and will design and develop a platform for the efficient development and deployment of AI models.

Compensation:

$40 – $60 hr

Responsibilities:

Schedule:

• 8-hour shift
• Monday to Friday

Qualifications:

Experience Needed:

• 
  Strong DevOps Background
• Experience building end-to-end systems as a Platform Engineer in Cloud-based systems.
• Experience in container services, Kubernetes(GKE), and Docker.
• Expertise in DevOps tools for CI/CD.
• Experience in data-oriented workflow orchestration frameworks.
• Experience in setting up IDE for AI such as Jupyter notebook/Lab.
• Familiarity with machine learning and deep learning technology. Understand concepts and terms of those technologies such as Feature, Hyperparameter, EDA(Exploratory Data Analysis) and etc.
• Familiarity with security best practices and use of firewalls, IPS/IDS, encryption, and incident response.
• Kubernetes: 1 year (Required)
• CI/CD: 1 year (Required)
• AWS: 1 year (Required)
• DevOps: 4 years (Required

About Company

CyAlly is a global cyber solutions, intelligence, and forensic advisory firm. Our seasoned staff supports, monitors, conducts threat intelligence, security hardening, information technology audits, and cyber advisory to help organizations succeed. The technology world is battling cyberterrorism. Our mission is to protect our clients’ confidentiality, integrity, and availability of their information technology data from all threats.